Principal Engineer – Data Platforms & MLOps (Databricks) Job at Codvo AI (Pune)

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Principal Engineer I – Senior Azure Databricks Administrator

Software Resources has an immediate, direct hire job opportunity for a Principal...

Location

United States , Phoenix

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

8+ years of related experience in data analytics administration and development
4+ years of Databricks related experience
Bachelor’s degree in related field required
Advanced proven experience in Azure Databricks (Workspace management, Clusters, Jobs, Unity Catalog, Delta Lake, User access management, Rest APIs and SDKs)
Knowledge of MLFlow & MLOps
Deep understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, networking
Experience with CI/CD pipelines (Azure DevOps preferred)
Strong programming skills in SQL, Python, and/or PySpark
Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously
Advanced ability to see the big picture and align projects with organizational goals

Job Responsibility

Responsible for delivery and operations of technologies and platforms required to model, transform, analyze, report, visualize data
Provide SME expertise in designing, building, optimizing, streamlining and automating the Azure Databricks platform
Partner with ML engineers, data scientists, data analysts, and enterprise architects to provide frameworks, set standards, enforce best practices, train and enable users
Develop technical skills of one or more junior team-members
Take assignments that can be worked on individually without supervision, and manage work effort from concept to completion
Design, build, optimize, automate and maintain the Azure Databricks platform, ensuring scalability, security, governance and performance
Design, implement and manage Azure Databricks workspaces, clusters, jobs, access management
Design, implement and manage policies, monitoring and observability
Implement data analytics principles aimed at business enablement, reliability practices and sound recovery procedures
Ensure compliance with IT policies, procedures, and industry standards

What we offer

Competitive salaries
An ownership stake in the company
Medical and dental insurance
Time off
A great 401k matching program
Tuition assistance program
An employee volunteer program
A wellness program

Fulltime

Principal Machine Learning Engineer

As a Principal Machine Learning Engineer, you will lead the architecture and dev...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Data Science, or a related field with 12 to 17 years of total experience
8+ years of experience in software engineering, machine learning engineering, or ML infrastructure
Strong experience building production ML systems or ML platforms
Hands-on experience with MLOps frameworks and tools such as MLflow / Equivalent - Model lifecycle management frameworks
Strong programming experience in Python and modern software engineering practices such as API Driven Architecture and Event based systems
Experience designing scalable distributed systems or cloud-native architectures
Experience deploying and operating machine learning models in production environments
Solid understanding of modern ML workflows including training, evaluation, deployment, monitoring, and retraining

Job Responsibility

Architect and build a scalable ML platform for training, deployment, and lifecycle management of ML, LLM, and Generative AI models
Lead development of infrastructure that supports production hosting of complex AI systems, including large-scale inference workloads
Design developer-friendly abstractions and automation that make it easy for researchers to build and deploy models within the Amgen ecosystem
Implement and evolve MLOps capabilities including experiment tracking, model versioning, CI/CD for ML, monitoring, and reproducibility using tools such as Databricks and MLflow
Build platform capabilities supporting Generative AI and emerging Agentic AI systems
Serve as the technical leader for a team of engineers, guiding architecture, design reviews, and engineering best practices
Partner with AI researchers, data scientists, and platform teams to translate cutting-edge AI research into reliable production systems
Evaluate and adopt emerging technologies across the modern AI stack including foundation models, vector databases, agent frameworks, and model serving systems
Champion AI-native engineering practices, leveraging tools like GitHub Copilot, Codex, and AI-assisted development workflows
Contribute to the broader strategy and evolution of the Enterprise AI Platforms ecosystem

Principal Ai Architect

At Teradata, we believe that people thrive when empowered with better informatio...

Location

United States , California

Salary:

217300.00 - 325900.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics
Experience building developer-facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend
Familiarity with open-source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable
Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails
Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker)
Strong cross-functional influence: you can drive alignment across engineering, product, and customer-facing teams without formal authority
A portfolio of architectural decisions — RFCs, design docs, or open-source work — that demonstrates your approach

Job Responsibility

Define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage
Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
Establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation
Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market
Ship architectural decisions that other engineers can build on with confidence
Drive customer adoption of AI Studio at scale

What we offer

Healthcare
life and disability insurance plans
401(k)-retirement savings plan
time-off programs

Fulltime

Principal MLOps Architect

We are seeking a highly experienced and hands-on Principal AI/ML Architect & App...

Location

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
10+ years of experience in AI/ML, data science, or distributed systems engineering.
Proven experience designing and deploying production-grade AI solutions at enterprise scale.
Strong background in both research and industrial AI environments.
Experience leading global or distributed technical teams.
Demonstrated success delivering AI transformation initiatives.
Large Language Models (LLMs)
Generative AI systems
NLP / NLU
Apache Spark

Job Responsibility

Lead the design and implementation of AI/ML solutions across multiple business domains.
Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, and advanced analytics solutions.
Define AI architecture standards, MLOps best practices, and scalable deployment strategies.
Evaluate emerging AI technologies and identify opportunities for innovation and operational impact.
Translate research initiatives into production-ready AI solutions.
Architect scalable distributed data-processing systems capable of handling large-scale datasets and real-time pipelines.
Design and optimize cloud-native AI platforms using modern data engineering frameworks.
Lead cloud migration and modernization initiatives from on-premises environments to Azure and/or AWS.
Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments.
Ensure reliability, scalability, observability, and cost-efficiency of AI infrastructure.

Fulltime

Principal AI Safety Engineer for Autonomous Vehicles Technical Lead

The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Lea...

Location

United States

Salary:

250600.00 - 384600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field
or equivalent practical experience
10+ years of experience in AI/ML, engineering or a related field
5+ years in autonomous vehicles, robotics or related field
Experience in Machine Learning & AI: Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Cloud & Big Data Platforms: ( Preferred Microsoft Azure - Data Lake, Machine Learning, Databricks)
Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy

Job Responsibility

Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria.
Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects
Define GM’s strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM’s position in the autonomous vehicle ecosystem.
Support regulatory rulemaking and policy responses related to AI safety-critical systems.
Establish an assurance plan and process to evaluate AI-related safety case evidence and verify that sufficiency criteria are met.
Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities.
Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.
Mentor and develop team members, fostering a culture of technical excellence and continuous learning.

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

New

Principal AI Architect

As the Principal AI Architect for Teradata AI Studio, you will define the techni...

Location

India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics

Job Responsibility

Define the technical architecture of Teradata's end-to-end AI development environment
Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
Establish the patterns for how enterprise customers build trustworthy AI workflows
Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market

What we offer

Flexible work model
People-first culture
Focus on well-being
Commitment to fostering an inclusive environment

Fulltime

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Principal Engineer – Data Platforms & MLOps (Databricks)

Job Description

Job Responsibility

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